{"id":"W1902468294","doi":"10.1371/journal.pone.0134958","title":"A Biochemical Approach to Understand the Pathogenesis of Advanced Pulmonary Arterial Hypertension: Metabolomic Profiles of Arginine, Sphingosine-1-Phosphate, and Heme of Human Lung","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Bayer Canada","keywords":"Metabolomics; Pulmonary hypertension; Lung; Pathogenesis; Arginine; Metabolic pathway; Nitric oxide; Medicine; Pathology; Internal medicine; Pharmacology; Biology; Biochemistry; Bioinformatics; Metabolism; Amino acid","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001794333,0.0003390846,0.0003090403,0.0006962343,0.0001961871,0.000308739,0.0001471919,0.000329968,0.0005008908],"category_scores_gemma":[0.000138636,0.00008629433,0.0002117545,0.0004337973,0.000252326,0.0003193933,0.0002611032,0.0004774643,0.00009270164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874137,"about_ca_system_score_gemma":0.0002712418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007942629,"about_ca_topic_score_gemma":0.001282183,"domain_scores_codex":[0.9999453,0.00001253496,0.000003827844,0.00001627153,0.00001289026,0.000009198349],"domain_scores_gemma":[0.9999497,0.000009692059,0.00001301995,0.000005279224,0.000009871387,0.00001245576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002955935,0.00004561555,0.009013519,0.000116178,0.00003757813,0.00009455775,0.00005728543,0.0002349005,0.9764629,0.0002643491,0.00009590961,0.01328158],"study_design_scores_gemma":[0.00004665573,0.001277569,0.3709705,0.0000616254,0.0001944757,0.00186856,0.0004378616,0.009950618,0.6028404,0.004195344,0.00810749,0.00004889204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543589,0.01336814,0.02823186,0.0009139421,0.00004170625,0.00009450987,0.001787267,0.0001023395,0.001101135],"genre_scores_gemma":[0.974799,0.005934058,0.01708121,0.0002854214,0.00003236845,0.00008509274,0.0008864431,0.00001002047,0.000886381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007942629,"threshold_uncertainty_score":0.001675665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028282524139461,"score_gpt":0.2736520598013213,"score_spread":0.1933692345599267,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}